Definition
The systematic practice of tracking, managing, and storing different iterations of datasets used throughout the development and deployment lifecycle of ML systems.
In short: The systematic practice of tracking, managing, and storing different iterations of datasets used throughout the development and deployment lifecycle of ML systems.